OBJECTIVE To investigate the risk factors for sodium valproate （VPA）-induced hyperammonemia in neurocritical patients， and to construct a risk prediction model. METHODS Clinical data were retrospectively collected from 172 neurocritical patients who received VPA treatment in the Department of Critical Care Medicine， the Fourth Affiliated Hospital of Soochow University from January 2022 to June 2025. Patients were divided into the hyperammonemia group （73 cases） and the normal group （99 cases） based on their blood ammonia levels. Univariate analysis and LASSO regression analysis were used to screen for predictive variables. Independent factors were identified through multivariate Logistic regression analysis， and a nomogram was constructed accordingly. The performance of the model was evaluated using receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis （DCA）. RESULTS Combination of univariate analysis and LASSO regression analysis screened out seven predictive variables： body mass index （BMI）≥24.0 kg/m 2 ， concomitant use of benzodiazepines， VPA blood concentration， hemoglobin， serum urea， average daily VPA dose， and albumin. Multivariate Logistic regression analysis showed that concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， VPA blood concentration， albumin and serum urea level （with odds ratios of 1.615， 1.538， 1.623， 1.942 and 0.637， respectively； 95% confidence intervals of 1.128-2.359， 1.059-2.251， 1.112-2.431， 1.106-3.598 and 0.402-0.980， respectively） were all significantly associated with VPA-induced hyperammonemia in neurocritical patients （ P ＜0.05）. The nomogram prediction model constructed based on these variables was evaluated， showing that the area under the ROC curve was 0.810 for the test set and 0.844 for the validation set. The calibration curves closely approximated t he actual curves， and the application of this model could improve the clinical net benefit. CONCLUSIONS Concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， high VPA blood concentration and high albumin level are independent risk factors for VPA-induced hyperammonemia in neurocritical patients， while high serum urea level is an independent protective factor. The risk prediction model constructed based on these factors exhibits good discrimination， consistency， and clinical applicability， making it applicable for predicting the risk of VPA-induced hyperammonemia in neurocritical patients.

Pediatric rheumatic diseases are a group of complex chronic inflammatory disorders,mainly including juvenile idiopathic arthritis,diffuse connective tissue diseases,systemic vasculitis,and autoinflammatory diseases.Liver involvement is quite common in pediatric rheumatic diseases.In most cases,pediatric rheumatic diseases with liver involvement manifest as varying degrees of abnormal liver enzymes or hepatomegaly and may not have significant liver parenchyma lesions,and such diseases rarely progress to liver decompensation.Only a few children with rheumatic diseases may develop severe liver lesions.Liver involvement in children with rheumatic diseases may be caused by the primary disease itself or concurrent autoimmune liver diseases,but secondary factors are more common,including drug-induced liver damage caused by drugs used to treat rheumatic diseases,viral hepatitis,and fatty liver disease.This article summarizes liver involvement in pediatric rheumatic diseases,in order to provide a reference for the etiological analysis,diagnosis,and treatment strategies of liver involvement in pediatric rheumatic diseases.

Aim To investigate the intestinal protection and possible mechanism of magnolol(MG)in newborn rats with necrotizing enterocolitis(NEC).Methods The rats were randomly divided into control group(Ctrl group),model group(NEC group)and treatment group(MG group).The NEC model was induced by hypoxia,cold stimulation,deep formula milk and LPS intragastric administration in 7-day-old rats for four days.They were killed after five days of treatment with MG(20 mg·kg-1).HE staining was used to observe the intestinal pathological injury.Western blot was used to detect the expressions of IL-1 β,TNF-α,NL-RP3,ASC,caspase-1 and tight junction protein in the distal ileum of rats.Colon contents were collected for 16S rDNA sequencing to understand the gut microbio-ta.Results MG improved the body mass and intesti-nal injury of NEC neonatal rats.The expressions of in-testinal IL-1β,TNF-α,NLRP3,ASC and caspase-1 proteins were down-regulated,and the expressions of Claudin,Occludin and ZO-1 proteins were up-regula-ted.16S rDNA showed that MG increased the diversity of intestinal flora,and at the phylum level,MG in-creased the abundance of firmicutes and bacteroides in NEC model,and decreased the abundance of pro-teobacteria.At the genus level,MG treatment in-creased the abundance of Lactobacillus,unclassified_Muribaculaceae,Racteroides,but decreased the abun-dance of Escherichia_Shigella,Rodentibacter and Fuso-bacterium.Conclusion MG intervention can protect the intestinal tract of NEC rats by potentially improving barrier function,and regulating the intestinal microbiota through the NLRP3/ASC/caspase-1 signaling pathway.

Objective To compare the effects of different exercise acclimatization(EA)durations on liver injury and inflammatory response in mice with exertional heatstroke(EHS).Methods A total of 168 male C57BL/6 mice were randomly assigned to four groups using a random number table:no exercise acclimation group(EA0W,n=54),1-week exercise acclimation group(EA1W,n=54),2-week exercise acclimation group(EA2W,n=54),and blank control group(n=6).The blank control group did not undergo acclimatization training or EHS modeling.The EA1W and EA2W groups underwent daily 2-hour exercise training at a speed of 10 m/min in an environment maintained at(26.0±0.5)℃for 1 and 2 weeks,respectively,followed by a 2-day rest after training completion.EHS modeling was performed in mice of EA0W,EA1W,and EA2W groups through running at 10 m/min under controlled environmental conditions(39.5℃ambient temperature,65%relative humidity).The modeling endpoint was defined as loss of consciousness accompanied by a core body temperature≥42.7℃.All modeling procedures were systematically documented.Following modeling,18 mice from EA0W,EA1W,and EA2W groups underwent 24-hour survival analysis.Blood samples from the abdominal aorta and liver tissues were collected at 6,12 and 24 hours post-modeling(6 mice per time point for each group).Plasma levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),and creatine kinase(CK)were quantified.Interleukin(IL)-1β and IL-6 concentrations were determined using enzyme-linked immunosorbent assay(ELISA).Liver tissue specimens underwent hematoxylin-eosin(HE)staining and pathological scoring.Results The EHS model was successfully established in all EA groups.When all mice in EA0W group developed EHS(65 min after the modeling initiation),the incidence rates in EA1W and EA2W groups were 50.0%and 22.2%,respectively,with a statistically significant difference between EA0W group and the latter two groups(P<0.05).When all mice in the three groups developed EHS,the time to EHS onset was significantly longer in both EA1W and EA2W groups compared to EA0W group,with EA2W group showing a longer onset time than EA1W group(P<0.05).Survival analysis revealed a significantly higher 24-hour survival rate in EA2W group(61.1%)compared to EA0W group(33.3%)(P<0.05),while no significant difference was observed between EA1W group and the other two groups(P>0.05).The levels of IL-1β,IL-6,and CK were highest at 6 h post-modeling in all EA groups(P<0.05),and liver injury was most severe at 12 h post-modeling(P<0.05).Compared to EA0W group,the levels of ALT,AST,and IL-1β,as well as liver pathology scores,were significantly lower at 12 h post-modeling in both EA1W and EA2W groups(P<0.05),with EA2W group showing significantly lower ALT and AST levels,as well as liver pathology scores than EA1W group(P<0.05).At 6 h post-modeling,CK levels were significantly higher in EA1W and EA2W groups compared to EA0W group(P<0.05),with EA2W group exhibiting higher CK levels than in EA1W group(P<0.05).Conclusions Exercise acclimation helps reduce the incidence of EHS.Following EHS onset,the survival rate of exercise-acclimated mice is higher than that non-acclimated mice,with a significantly higher survival rate in mice acclimated for 2 weeks compared to non-acclimated mice.However,no significant difference in survival rate is observed between mice acclimated for 1 week and non-acclimated mice.Additionally,exercise acclimation for 2 weeks is more effective in reducing liver injury and inflammatory responses compared to 1-week acclimation.

Objective To develop nanobodies with broad-spectrum reactivity,specificity,and high sensitivity that can be used for detecting multiple subtypes of influenza A virus,and to establish a nanobody-based enzyme-linked immunosorbent assay(ELISA)method.Methods Gene sequences of twelve nanobodies against influenza A virus were retrieved from the National Center for Biotechnology Information(NCBI)and nanobody databases.The nanoantibodies were prepared using molecular biological techniques including gene synthesis and recombinant expression.The binding activity,specificity,sensitivity,and affinity of these nanobodies were determined by ELISA screening and Gator affinity analysis.A double-antibody sandwich ELISA assay was established by combining the selected nanobody with a traditional mouse monoclonal antibody.Results Twelve nanobodies were expressed and purified.Two nanobodies capable of binding to multiple subtypes of influenza virus including H1,H3,H5,H7,and H9 were obtained and designated as VHH54 and KV108.Both nanobodies showed no cross-reactivity with other respiratory virus antigens.Furthermore,the KV108 nanobody exhibited the highest binding affinity,with a dissociation constant of 5.94×10-9mol/L for the influenza virus nucleoprotein(NP),and the lowest detection concentration for the NP antigen reached 0.00064 μg/mL.The double-antibody sandwich ELISA,using a combination of KV108 and a mouse monoclonal antibody,could sensitively detect the five common subtypes of influenza A virus(H1N1,H3N2,H5N1,H7N9,and H9N2).The lowest detection limit reached 110-403 PFU/mL,which was higher than that of the commercial colloidal gold kitfor influenza virus detection.Conclusion This study has identified a nanobody KV108,which is capable of binding to multiple subtypes of influenza virus,and established a nanobody-based ELISA method that can detect multiple subtypes of influenza A virus.This study can facilitate the development of nanobody-based influenza detection technologies.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

OBJECTIVE: To assess the value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) score combined with PSA density (PSAD) in the diagnosis of clinically significant prostate cancer (CSPCa) in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy. METHODS: This retrospective study included 327 male patients with total PSA (tPSA) levels of 4-10 μg/L undergoing MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy in our hospital between January 2021 and December 2023. According to the pathological results, we divided the patients into a CSPCa (n = 44) and a non-CSPCa group (n = 283), collected their clinical and imaging data, and subjected them to statistical analysis. RESULTS: The age, tPSA level, PSAD and PI-RADS score were significantly higher, while the free PSA (fPSA) level, f/tPSA ratio and prostate volume remarkably lower in the CSPCa than in the non-CSPCa group (P<0.05). The areas under the curve (AUCs) of PSAD, PI-RADS score and their combination were 0.772, 0.730 and 0.801, with sensitivities of 63.63%, 70.45% and 72.73%, and specificities of 84.10%, 75.62% and 83.75%, respectively (P<0.01). With PSAD 0.2 μg/(ml·cm3) as the best cut-off value and based on the PI-RADS scores, the patients were divided into two groups for analysis. In the patients with PI-RADS scores 2 and 5, the AUCs were 0.534 and 0.643, with sensitivities of 16.67% and 63.64%, and specificities of 85.14% and 64.29%, with no statistically significant differences (P= 0.784, P= 0.228), and in those with PI-RADS scores 3 and 4, the AUCs were 0.794 and 0.843, with sensitivities of 57.14% and 80.00%, and specificities of 87.14% and 81.82%, with statistically significant differences (P= 0.009, P<0.001). CONCLUSION PI-RADS v2.1 score combined with PSAD can effectively improve the diagnostic efficiency of CSPCa in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy and serve as a guide for selection of prostate biopsy.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Retrospective Studies ; Prostate-Specific Antigen ; Magnetic Resonance Imaging ; Image-Guided Biopsy ; Prostate/pathology* ; Aged ; Middle Aged

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.